2016
DOI: 10.1007/s11045-016-0465-5
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Wavelet inpainting by fractional order total variation

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Cited by 4 publications
(5 citation statements)
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“…Jiang and Yin [37] proposed wavelet based inpainting with fractional order TV regularization technique. In this model, primal-dual algorithm is applied to implement the TV regularization.…”
Section: Wavelet Based Modelsmentioning
confidence: 99%
See 2 more Smart Citations
“…Jiang and Yin [37] proposed wavelet based inpainting with fractional order TV regularization technique. In this model, primal-dual algorithm is applied to implement the TV regularization.…”
Section: Wavelet Based Modelsmentioning
confidence: 99%
“…Zhang et al model [25] utilized adaptive p-Laplace model and produces better results in terms of PSNR. In Jiang and Yin model [37], the proper selection of the fraction depends on the image to inpaint and order is selected 1.4 for better results. This model works well for the texture images.…”
Section: A Qualitative Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…The new deblurring model is able to capture image details hidden in blurred and noisy images, and the fast algorithm is efficient and robust. In 2018, the literature [ 25 ] proposed a wavelet repair model using fractional-order full-variance regularization method. The computational efficiency is improved and the convergence of the new algorithm is ensured.…”
Section: Introductionmentioning
confidence: 99%
“…Chan et al [3] have addressed this problem as wavelet inpainting, which corresponds to the problem (1) with W being an orthogonal wavelet transform. Up to now, wavelet inpainting has received a lot of attentions [17][18][19][20][21][22]. Direct interpolation in the wavelet domain is problematic since high frequency coefficients retained cannot provide enough information for the missing ones.…”
Section: Introductionmentioning
confidence: 99%